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Description
HP PHOTOSMART NO DE PARTE C6658A
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2499.00
Each circle represents one of the 8 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 5 | 7,381.1 MXN | 1,018.1 MXN | 19.7 % | 2.88 | 17 de febrero de 2015 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 2 | 6,938.4 MXN | 971.4 MXN | 15.3 % | 2.77 | 9 de junio de 2009 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 730.9 MXN | 28.9 MXN | 4.12 % | 0.0824 | 9 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOXCOM, S.A DE C.V. | 2 | 311.1 MXN | 11.7 % | 0.948 | 2013 - 2014 |
| NETSHELL SA. DE CV. | 2 | 971.4 MXN | 15.3 % | 2.77 | 2009 - 2009 |
| COMERCIALIZADORA E IMPORTADORA ROUTON, S.A. DE C.V | 1 | 404.3 MXN | 16 % | 1.12 | 2015 - 2015 |
| COMERCIALIZADORA EMPRESARIAL DE BIENES Y SERVICIOS | 1 | 28.9 MXN | 4.12 % | 0.0824 | 2009 - 2009 |
| GRUPO SIEN, S.A. DE C.V. | 1 | 124.4 MXN | 11.1 % | 0.334 | 2013 - 2013 |
| TERGUS, S. A. DE C. V. | 1 | 178.3 MXN | 47.9 % | 0.479 | 2013 - 2013 |
Entity type
Material de uso en equipos de computo
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=372.197.2499.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=372.197.2499.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=372.197.2499.00')